Abstract
In this paper, a novel conceptual framework for human/agent teams employing assistant agents is presented, together with its mapping to the GORITE BDI framework. The framework enables goal achievement by a human/agent team to be consistently modelled in terms of goal hierarchies known as process models. Furthermore, from the perspective of the process model execution, an individual goal execution proceeds in a consistent manner regardless of how the actual goal is realized. A proof of concept system based on an automated medication dispensing system is used to demonstrate the feasibility of the framework.
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Notes
- 1.
Allocation is used here in the Systems Engineering sense. As such, it is a design activity where the requirements that form the logical architecture of a system are allocated to the elements of the physical architecture. In this case, requirements equate to goals and there is a 1–1 correspondence between the human-agent team and the elements of the physical architecture.
References
Jarvis, D., Jarvis, J., Rönnquist, R., Jain, L.: Multiagent Systems and Applications. Volume 2: Development Using the GORITE BDI Framework. Springer (2012)
Noorunnisa, S., Jarvis, D., Jarvis, J., Watson, M.: Human-agent collaboration: a goal-based BDI approach. In: Jezic, G., Chen-Burger, Y.H., Howlett, R., Jain, L., Vlacic, L., Šperka, R. (eds.) Agents and Multi-agent Systems: Technologies and Applications 2018. KES-AMSTA-18 2018. Smart Innovation, Systems and Technologies, vol. 96. Springer, Cham (2019)
Noorunnisa, S., Jarvis, D., Jarvis, J., Watson, M.: Application of the GORITE BDI framework to human-autonomy teaming: a case study. J. Comput. Inf. Technol. 27(1), 13–24 (2019)
Bardram, J.E., Jeuris, S., Houben, S.: Activity-based computing: computational management of activities reflecting human intention. AI Mag. 36(2), 63–72 (2015)
Jarvis, D., Jarvis, J., Yang, C., Sinha, R., Vyatkin, V.: Janus: a systems engineering approach to the design of industrial cyber-physical systems. In: Proceedings of the 17th International Conference on Industrial Informatics (IEEE-INDIN 2019), Helsinki-Espoo Finland (2019)
Bratman, M.E.: Intention, Plans, and Practical Reason. Harvard University Press (1987)
Evertsz, E., Thangarajah, J., Papasimeon, M.: The conceptual modelling of dynamic teams for autonomous systems. In: Conceptual Modeling 36th International Conference, ER2017, pp. 311–324. Springer (2017)
AOS Group: AOS Group [Online]. http://www.agent-software.com.au
Blanchard, B., Fabrycky, W.: Systems Engineering and Analysis: Fifth Edition. Pearson (2011)
User Experience Professional’s Association: Usability Body of Knowledge [Online]. http://usabilitybok.org
Lui, F., Watson, M.: Cognitive modelling and constrained reasoning for intelligent agents. In: Proceedings of the 6th International Conference on Information Fusion, FUSION 2003, pp. 310–317 (2003)
Connell, R., Lui, F., Jarvis, D., Watson, M.: The mapping of courses of action derived from cognitive work analysis to agent behaviours. In: Proceedings of Agents at Work: Deployed Applications of Autonomous Agents and Multi-agent Systems Workshop, AAMAS 2003, Melbourne, Australia (2003)
Kalachev, A., Zhabelova, G., Vyatkin, V., Jarvis, D., Pang, C.: Intelligent mechatronic system with decentralised control and multi-agent planning. In: Proceedings of IECON 2018, pp. 3126–3133. IEEE (2018)
Jarvis, D., Jarvis, J., Kalachev, A., Zhabelova, G., Vyatkin, V.: PROSA/G: an architecture for agent-based manufacturing execution. In: Proceedings of ETFA 2018, pp. 155–160. IEEE (2018)
Australian Commission on Safety and Quality in Health Care: Automated Dispensing Systems. Evidence Briefings on Interventions to Improve Medication Safety, 1(2) (2013)
Norling, E.: Folk psychology for human modelling: extending the BDI paradigm. In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems AAMAS 2004, pp. 202–209. IEEE (2004)
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Noorunnisa, S., Jarvis, D., Jarvis, J., Rönnquist, R. (2021). A Conceptual Model for Human-Agent Teams. In: Jezic, G., Chen-Burger, J., Kusek, M., Sperka, R., Howlett, R.J., Jain, L.C. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2021. Smart Innovation, Systems and Technologies, vol 241. Springer, Singapore. https://doi.org/10.1007/978-981-16-2994-5_2
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